Підписатись
Maohan Liang
Maohan Liang
Research Fellow, National University of Singapore
Підтверджена електронна адреса в nus.edu.sg - Домашня сторінка
Назва
Посилання
Посилання
Рік
Deep learning-powered vessel trajectory prediction for improving smart traffic services in maritime Internet of Things
RW Liu, M Liang, J Nie, WYB Lim, Y Zhang, M Guizani
IEEE Transactions on Network Science and Engineering 9 (5), 3080-3094, 2022
1672022
STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multi-Graph Convolutional Network
RW Liu, M Liang, J Nie, Y Yuan, Z Xiong, H Yu, N Guizani
IEEE Transactions on Industrial Informatics, 2022
1272022
An unsupervised learning method with convolutional auto-encoder for vessel trajectory similarity computation
M Liang, RW Liu, S Li, Z Xiao, X Liu, F Lu
Ocean Engineering 225, 108803, 2021
1102021
Fine-Grained Vessel Traffic Flow Prediction with a Spatio-Temporal Multi-Graph Convolutional Network
M Liang, RW Liu, Y Zhan, H Li, F Zhu, FY Wang
IEEE Transactions on Intelligent Transportation Systems, 2022
792022
Unsupervised Hierarchical Methodology of Maritime Traffic Pattern Extraction for Knowledge Discovery
H Li, JSL Lam, Z Yang, J Liu, RW Liu, M Liang, Y Li
Transportation Research Part C: Emerging Technologies, 2022
672022
MVFFNet: Multi-view feature fusion network for imbalanced ship classification
M Liang, Y Zhan, RW Liu
Pattern Recognition Letters 151, 26-32, 2021
432021
Neural network-based automatic reconstruction of missing vessel trajectory data
M Liang, RW Liu, Q Zhong, J Liu, J Zhang
2019 IEEE 4th International Conference on Big Data Analytics (ICBDA), 426-430, 2019
402019
Effective alternating direction optimization methods for sparsity-constrained blind image deblurring
N Xiong, RW Liu, M Liang, D Wu, Z Liu, H Wu
Sensors 17 (1), 174, 2017
392017
QSD-LSTM: Vessel trajectory prediction using long short-term memory with quaternion ship domain
RW Liu, K Hu, M Liang *, Y Li, X Liu, D Yang
Applied Ocean Research 136, 103592, 2023
372023
PCA-based hierarchical clustering of AIS trajectories with automatic extraction of clusters
J Cao, M Liang, Y Li, J Chen, H Li, RW Liu, J Liu
2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA), 448-452, 2018
332018
Ship collision risk analysis: Modeling, visualization and prediction
RW Liu, X Huo, M Liang*, K Wang
Ocean Engineering 266, 112895, 2022
322022
Unsupervised Maritime Anomaly Detection for Intelligent Situational Awareness Using AIS Data
M Liang, L Weng, R Gao, Y Li, L Du
Knowledge-Based Systems, 2024
302024
Maritime traffic data visualization: A brief review
K Wang, M Liang, Y Li, J Liu, RW Liu
2019 IEEE 4th International Conference on Big Data Analytics (ICBDA), 67-72, 2019
302019
AIS-based vessel trajectory reconstruction with U-Net convolutional networks
S Li, M Liang, X Wu, Z Liu, RW Liu
2020 IEEE 5th International Conference on Cloud Computing and Big Data …, 2020
232020
AISClean: AIS data-driven vessel trajectory reconstruction under uncertain conditions
M Liang, J Su, RW Liu, JSL Lam
Ocean Engineering 306, 117987, 2024
212024
Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping
Y Li, M Liang, H Li, Z Yang, L Du, Z Chen
Engineering Applications of Artificial Intelligence 126, 107012, 2023
212023
Historical AIS data-driven unsupervised automatic extraction of directional maritime traffic networks
N Lu, M Liang, R Zheng, RW Liu
2020 IEEE 5th International Conference on Cloud Computing and Big Data …, 2020
182020
PiracyAnalyzer: Spatial Temporal Patterns Analysis of Global Piracy Incidents  
M Liang, H Li, W Liu, JSL Lam, Z Yang
Reliability Engineering & System Safety, 2024
162024
Spatio-Temporal Multi-Graph Transformer Network for Joint Prediction of Multiple Vessel Trajectories
RW Liu, W Zheng, M Liang*
Engineering Applications of Artificial Intelligence, 2024
152024
Shape-based vessel trajectory similarity computing and clustering: A brief review
N Lu, M Liang, L Yang, Y Wang, N Xiong, RW Liu
2020 5th IEEE International Conference on Big Data Analytics (ICBDA), 186-192, 2020
152020
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